Israel x Iran ceasefire continues through...?
A standalone Polymarket politics event with 5 markets and $4.3M in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.
Data as of 2026-08-16
Markets in this event
Israel x Iran ceasefire continues through August 15?
closes 2026-08-15 · volume $2.3M · last price 99.8%
Israel x Iran ceasefire continues through August 31?
closes 2026-08-31 · volume $1.9M · last price 94.5%
Israel x Iran ceasefire continues through September 30?
closes 2026-09-30 · volume $100.7K · last price 80.5%
Israel x Iran ceasefire continues through October 31?
closes 2026-10-31 · volume $55.7K · last price 72.5%
Israel x Iran ceasefire continues through December 31?
closes 2026-12-31 · volume $52.5K · last price 60.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Israel x Iran ceasefire continues through...", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Israel x Iran ceasefire continues through..."?
5 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Israel x Iran ceasefire continues through..." traded on Polymarket?
$4.3M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Israel x Iran ceasefire continues through..." data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Israel x Iran ceasefire continues through...", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 5M rows per day.
Related events: Democratic Presidential Nominee 2028, Republican Presidential Nominee 2028, Presidential Election Winner 2028, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens